Using the GERA cohort, we aim to determine the extent to which atherosclerotic cardiovascular disease (ASCVD) polygenic risk score is associated with baseline ASCVD risk and statin-induced ASCVD relative risk reduction. We will also determine the extent to which the association between ASCVD polygenic risk score and statin-induced ASCVD relative risk reduction is modified by statin benefit group, statin type, and statin dose. Lastly, we will develop an algorithm that predicts baseline ASCVD and statin-induced ASCVD relative risk reduction incorporating ASCVD polygenic risk score on top of traditional ASCVD risk prediction tools. The goal is to use these findings to provide a polygenic risk score-guided precision medicine tool for statin treatment decisions.
Optimization of statin regimens for atherosclerotic cardiovascular disease prevention using polygenic risk scores and real-world evidence – DUPLICATED DO NOT ACTIVATE
Investigator: Iribarren, Carlos
Funder: National Heart, Lung, and Blood Institute